「英中对照」Hanwha Vision与Morphean结合AI视频云平台 防范电动车充电设施盗窃破坏
Intelligent Camera Systems Secure Electric Vehicle Charging Infrastructure
Hanwha Vision与Morphean正结合AI视频分析与云安全平台技术,为欧洲电动车充电基础设施提供可防范线缆盗窃、人为破坏的安保方案。厂商称该方案可智能识别可疑行为、联动充电状态设置动态告警区以降低误报,还具备远程告警、主动威慑、充电桩状态监控、事件云端防篡改存证等功能,可保障充电点可用性。文中补充的边缘AI相关技术说明非原产品公告内容,材料未披露方案的落地案例与实测运行数据。
材料披露Hanwha Vision与Morphean联合提供的AI视频充电设施安保方案功能,所述降误报、提升充电点可用性等效果为厂商主张,补充技术说明非原产品公告内容,需核验实际落地表现及适配条件。
smartbuildingmag.com
12 {{ "2026-10-12T00:00:00+00:00" | date "MMM" }} '26
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Hanwha Vision and Morphean combine AI video analytics with cloud management to prevent cable theft and vandalism.
hanwhavision.eu

The rapid expansion of electromobility across Europe brings new security challenges for charging infrastructure operators. Charging stations are increasingly targeted by vandalism and cable thefts, driven by the high copper value of charging cables. To prevent prolonged downtime and costly repairs, Hanwha Vision and Morphean are now combining AI-powered cameras with a cloud-based security platform. This solution enables operators to detect suspicious activity at distributed or remote locations in real-time, intervene proactively, and ensure maximum charging point availability.
AI Video Analytics and Dynamic Alarm Zones
Hanwha Vision cameras monitor charging bays 24/7, utilizing Intelligent Video Analysis (IVA) to identify specific behavioral patterns. For instance, the system detects individuals loitering near sensitive power supply enclosures. Morphean's platform complements this with dynamic alarm zones: when a vehicle is present in the bay, the zone is automatically deactivated. Once the vehicle departs, monitoring is re-enabled. Through a direct IT link with the charging station, the system can also verify whether an active charging session is underway or if a vehicle is blocking the space without authorization, drastically minimizing false alarms.
Remote Monitoring and Active Deterrence
In the event of unusual activity, Morphean enables centralized remote management that sends immediate warnings to security personnel or an alarm receiving center. To prevent damage pre-emptively, the system can intervene actively by triggering connected strobe lights or sirens as soon as the AI registers suspicious behavior. Furthermore, the systems can be used to monitor the technical status of the chargers; device-specific error messages are transmitted directly into the platform. All incidents are documented tamper-proof in the cloud to optimally support subsequent investigations and insurance claims.
Additional Context: Edge AI and Protection of HPC Infrastructure
This section contains technical specifications and competitive benchmarking not included in the original product announcement.
Charging cables for High-Power Charging (HPC) are extremely expensive and coveted on the black market due to their massive copper cross-section and integrated liquid cooling. Traditional passive closed-circuit television (CCTV) mostly just records offenses, which is of little use for unmanned charging parks since the perpetrators have long fled by the time the damage is discovered. Integrating edge AI cameras with cloud platforms shifts security from reactive recording to predictive intervention. By leveraging deep learning algorithms directly on the camera (edge computing), latency and bandwidth requirements are significantly reduced, as only verified metadata and short alarm sequences need to be sent to the cloud. This is particularly crucial for remote highway charging parks that are often connected via bandwidth-limited cellular networks (4G/5G).
Edited by industrial journalist Lekshman Ramdas, with AI assistance.
www.hanwhavision.com
来源:Smart Building International · smartbuildingmag.com
